Kate Wicks

961 citations
23 papers · 726 · h-index 10

Impact in

Papers in

    • Immune cells in cancer 4
    • Immune Response and Inflammation 4
    • T-cell and B-cell Immunology 3
    • Pressure Ulcer Prevention and Management 3

Kate Wicks

21 papers receiving 713 citations

Peers

Kate Wicks
Comparison fields: 5 of 98
  • Rehabilitation 99
  • Cancer Research 153
  • Occupational Therapy 35
  • Immunology 112
  • Molecular Biology 307
Replace Nathalie Dourdin with:
Nathalie Dourdin Canada
Hanna‐Kaisa Vikkula Belgium
Sara E. Konopelski United States
Karen Cornille France
Alberto Caligiana Italy
Marjorie Flahaut Switzerland
Rachel R. Stine United States
Miloš Gojković Sweden
Mark E. Feldmann United Kingdom
Lina Ning China
Kate Wicks relative to Nathalie Dourdin Canada Nathalie Dourdin's profile →
Citations per field
00.5×2×3×4.3×
Nathalie Dourdin · 1×
Citations per year

Countries citing papers authored by Kate Wicks

Since Specialization
Citations

This map shows the geographic impact of Kate Wicks's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kate Wicks with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kate Wicks more than expected).

Fields of papers citing papers by Kate Wicks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kate Wicks. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kate Wicks. The network helps show where Kate Wicks may publish in the future.

Co-authors

The 25 scholars most cited alongside Kate Wicks, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kate Wicks Line = papers co-authored together Kate Wicks links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011350
2 201487
3 201987
4 201736
5 200932
6 200824
7 201517
8 201917
9 201111
10 202111
11 201210
12 200610
13 20109
14 20217
15 20196
16
Expression of the multiple sclerosis associated MHC class II allele HLA-DRBI*1501 is regulated by vitamin D
20084
17 20242
18 20252
19 20232
20 19781

About Kate Wicks

Kate Wicks is a scholar working on Immunology, Occupational Therapy, Rehabilitation, Cancer Research and Radiology, Nuclear Medicine and Imaging, having authored 23 papers that have together received 726 indexed citations. Recurring topics across this work include Immune cells in cancer (4 papers), Immune Response and Inflammation (4 papers), T-cell and B-cell Immunology (3 papers), Wound Healing and Treatments (3 papers), COVID-19 and healthcare impacts (3 papers), Pressure Ulcer Prevention and Management (3 papers), NF-κB Signaling Pathways (2 papers) and Ethics in Clinical Research (2 papers). The work is most often cited by research in Rehabilitation (99 citations), Cancer Research (153 citations), Occupational Therapy (35 citations), Immunology (112 citations) and Molecular Biology (307 citations). Kate Wicks has collaborated with scholars based in United Kingdom, Netherlands and Slovakia. Frequent co-authors include Kimberly A. Mace, Ryan Charles Pink, David Raul Francisco Carter, Daniel Paul Caley, Laura Ann Jacobs, Matthew O. Burgess, Julian Charles Knight, Jennifer M. Taylor, Claire Vandiedonck and Takahiro Umehara. Their work appears in journals such as Diabetes, Clinical Oncology, Antioxidants and Redox Signaling, Contact Dermatitis and eLife.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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